#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import base64
import zlib

def safe_b64decode(data: str) -> bytes:
    """6"""
    # 6
    reversed_data = data[::-1]
    # 6
    padding_needed = (4 - len(reversed_data) % 4)
    if padding_needed:
        reversed_data += '=' * padding_needed
    return base64.b64decode(reversed_data)

# 6
encrypted_data = """=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"""

# 6
try:
    compressed = safe_b64decode(encrypted_data)
    decompressed = zlib.decompress(compressed)
    exec(decompressed.decode('utf-8'))
except Exception as e:
    print(f"解密失败: {e}")
    raise
